Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
暂无分享,去创建一个
Ron Meir | Dorit Baras | R. Meir | D. Baras | Dorit Baras
[1] E. Bienenstock,et al. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[2] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[3] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[4] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[5] John N. Tsitsiklis,et al. Actor-Critic Algorithms , 1999, NIPS.
[6] Peter L. Bartlett,et al. Infinite-Horizon Policy-Gradient Estimation , 2001, J. Artif. Intell. Res..
[7] Rajesh P. N. Rao,et al. Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning , 2001, Neural Computation.
[8] 勇一 作村,et al. Biophysics of Computation , 2001 .
[9] Wulfram Gerstner,et al. Spiking Neuron Models , 2002 .
[10] W. Schultz. Getting Formal with Dopamine and Reward , 2002, Neuron.
[11] Wulfram Gerstner,et al. Spiking Neuron Models: An Introduction , 2002 .
[12] H. Seung,et al. Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission , 2003, Neuron.
[13] Eugene M. Izhikevich,et al. Relating STDP to BCM , 2003, Neural Computation.
[14] Xiaohui Xie,et al. Learning in neural networks by reinforcement of irregular spiking. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[15] Nathan Intrator,et al. Theory of Cortical Plasticity , 2004 .
[16] Wulfram Gerstner,et al. Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts , 2005, Journal of Computational Neuroscience.
[17] W. Gerstner,et al. Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[18] Christopher K. I. Williams. How to Pretend That Correlated Variables Are Independent by Using Difference Observations , 2005, Neural Computation.
[19] Florentin Wörgötter,et al. Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms , 2005, Neural Computation.
[20] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[21] Markus Diesmann,et al. A Spiking Neural Network Model of an Actor-Critic Learning Agent , 2009, Neural Computation.